Senior Deep Learning Engineer

Placements24

Noord-Kaap

Hybrid

ZAR 1,200,000 - 2,100,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Health & retirement benefits
Professional development
Hybrid work in Kimberley

Job summary

Placements24 is seeking a Senior Deep Learning Engineer to join its advanced R&D team in Kimberley. You will design, develop, and deploy sophisticated DL models and collaborate with researchers to drive AI innovations.

You will lead model training, optimization, and deployment across hardware platforms, staying updated with the latest AI research and technologies.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Electrical Engineering, or related field with a focus on Deep Learning.
  • 5+ years of professional experience in deep learning research and development.
  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.

Responsibilities

  • Design, implement, and train advanced deep learning models (CNNs, RNNs, Transformers, etc.).
  • Experiment with different neural network architectures and optimization techniques to improve model performance.
  • Process and analyze large-scale datasets for deep learning tasks.
  • Optimize deep learning models for deployment on various hardware platforms, including distributed systems.
  • Collaborate with researchers and engineers to integrate deep learning solutions into products and services.
  • Stay current with the latest research publications and trends in deep learning and AI.

Skills

Deep learning
Python
GPU computing
Distributed training
Research & development
Problem solving

Education

Ph.D. or Master's in Computer Science / Electrical Engineering with focus on Deep Learning

Tools

TensorFlow
PyTorch
Keras

Job description

About the Role

Our client is seeking a highly experienced and innovative Senior Deep Learning Engineer to join their advanced research and development team in Kimberley . You will play a key role in designing, developing, and deploying sophisticated deep learning models that address complex challenges across various domains. This position offers a unique opportunity to work on cutting-edge AI technologies, contributing to groundbreaking research and practical applications that push the boundaries of what's possible. Join a collaborative and intellectually stimulating environment where your expertise will drive significant technological advancements and shape the future of artificial intelligence.

Key Responsibilities
  • Design, implement, and train advanced deep learning models (CNNs, RNNs, Transformers, etc.).
  • Experiment with different neural network architectures and optimization techniques to improve model performance.
  • Process and analyze large-scale datasets for deep learning tasks.
  • Optimize deep learning models for deployment on various hardware platforms, including distributed systems.
  • Collaborate with researchers and engineers to integrate deep learning solutions into products and services.
  • Stay current with the latest research publications and trends in deep learning and AI.
Requirements
  • Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on Deep Learning.
  • 5+ years of professional experience in deep learning research and development.
  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Solid understanding of machine learning principles, algorithms, and neural network architectures.
  • Experience with GPU computing and distributed training environments.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
Benefits
  • Highly competitive salary and attractive bonus structure.
  • Comprehensive health, dental, and retirement benefits.
  • Significant investment in professional development and continuous learning.
  • Hybrid work environment in Kimberley , blending office and remote flexibility.
  • A stimulating work environment with opportunities for impactful contributions.
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